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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A critical assessment of using ChatGPT for extracting structured data from clinical notes
Jingwei Huang, Donghan M. Yang, Ruichen Rong, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Invasion and metastasis in cancer: molecular insights and therapeutic targets
Yongxing Li, Fengshuo Liu, Qingjin Cai, et al.
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Use of Generative AI to Identify Helmet Status Among Patients With Micromobility-Related Injuries From Unstructured Clinical Notes
Katie Burford, Nicole Itzkowitz, Ashley G. Ortega, et al.
JAMA Network Open (2024) Vol. 7, Iss. 8, pp. e2425981-e2425981
Open Access | Times Cited: 9
Lung Cancer Staging Using Chest CT and FDG PET/CT Free-Text Reports: Comparison Among Three ChatGPT Large-Language Models and Six Human Readers of Varying Experience
Jong Eun Lee, Ki Seong Park, Yun‐Hyeon Kim, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 6
Closed Access | Times Cited: 8
Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence
Youcef Derbal
Clinical Medicine Insights Oncology (2025) Vol. 19
Open Access | Times Cited: 1
Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms
Xintian Yang, Tongxin Li, Handong Wang, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
The long but necessary road to responsible use of large language models in healthcare research
Jethro C. C. Kwong, Serena Wang, Grace C. Nickel, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Overview and future prospects of out-of-hospital cardiac arrest registries in Japan
Yohei Okada, Koshi Nakagawa, Hideharu Tanaka, et al.
Resuscitation Plus (2024) Vol. 17, pp. 100578-100578
Open Access | Times Cited: 6
Generalizable and automated classification of TNM stage from pathology reports with external validation
Jenna Kefeli, Jacob F. Berkowitz, Jose Miguel Acitores Cortina, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
An Automated Information Extraction Model For Unstructured Discharge Letters Using Large Language Models and GPT-4
Robert Siepmann, Giulia Baldini, Cynthia S. Schmidt, et al.
Healthcare Analytics (2025), pp. 100378-100378
Open Access
Beyond test results: the strategic importance of metadata for the integration of AI in laboratory medicine
Fabio Del Ben
Clinical Chemistry and Laboratory Medicine (CCLM) (2025)
Closed Access
The use of large language models in detecting Chinese ultrasound report errors
Yuqi Yan, Kai Wang, Bojian Feng, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
NLP for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
Muhammad Bilal, Ameer Hamza, Nadia Malik
Journal of Pain and Symptom Management (2025)
Closed Access
Prompts to Table: Specification and Iterative Refinement for Clinical Information Extraction with Large Language Models
David Hein, Alana Christie, Michael J. Holcomb, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Reproduction of Original Glioblastoma and Brain Metastasis Research Findings Using Synthetic Data
William Davalan, Roy Khalaf, Roberto J. Diaz
World Neurosurgery (2025) Vol. 196, pp. 123808-123808
Open Access
Age estimation for disorder characterization from pediatric polysomnograms
Sven Festag, Sebastian Herberger, Cord Spreckelsen, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107701-107701
Open Access
Developing a decision support system using different classification algorithms for polyclinic selection
Müberra Terzi Kumandaş, Naci Murat
Expert Systems with Applications (2025), pp. 127042-127042
Closed Access
Developing a named entity framework for thyroid cancer staging and risk level classification using large language models
Matrix Man Him Fung, Eric Ho Man Tang, Tingting Wu, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Automated structured data extraction from intraoperative echocardiography reports using large language models
Emily J. MacKay, Shir Goldfinger, Trevor Chan, et al.
British Journal of Anaesthesia (2025)
Closed Access
Assessments of lung nodules by an artificial intelligence chatbot using longitudinal CT images
Yuqiang Mao, Nan Xu, Yanan Wu, et al.
Cell Reports Medicine (2025), pp. 101988-101988
Open Access
Implementing large language models in healthcare while balancing control, collaboration, costs and security
Fabio Dennstädt, Janna Hastings, Paul Martin Putora, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Parkinsonism in Alzheimer's disease without Lewy bodies in association with nigral neuron loss: A data‐driven clinicopathologic study
Daisuke Ono, Hiroaki Sekiya, Andreas Maier, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 3
Open Access
The PERFORM Study: AI Versus Human Residents in Cross-Sectional Obstetrics-Gynecology Scenarios Across Languages and Time Constraints
Canio Martinelli, Antonio Giordano, Vincenzo Carnevale, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100206-100206
Open Access
Assessing large language models for Lugano classification of malignant lymphoma in Japanese FDG-PET reports
Rintaro Ito, Keita Kato, Kosuke Nanataki, et al.
Deleted Journal (2025) Vol. 9, Iss. 1
Open Access
A Review of Large Language Models in Medical Education, Clinical Decision Support, and Healthcare Administration
Josip Vrdoljak, Zvonimir Boban, Marino Vilović, et al.
Healthcare (2025) Vol. 13, Iss. 6, pp. 603-603
Open Access
Assessing the accuracy of the GPT-4 model in multidisciplinary tumor board decision prediction
Efe Cem Erdat, Merih Yalçıner, Mehmet Berk Örüncü, et al.
Clinical & Translational Oncology (2025)
Open Access
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